From engineering to drug design: Use of the Taguchi method to predict the optimal compound from a dataset could potentially allow the identification of the most biologically active compound without the synthesis of a full combinatorial library of derivatives. Our results show that the method achieved favorable outcomes for biological activities that are measured against specific target proteins. However, limitations were observed when the method was applied to data derived from a cell‐based system.
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